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of Surgery, Division of Surgical and Interventional Sciences is seeking a Course Lecturer to teach the 2026 Winter semester: Biomedical Research Innovation. Course Title and Course Number: EXSU 605
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: Lecturer, Midwifery Program Position Should you have any queries around this position, please contact the Head of the Department of Family Practice at dept.head@familymed.ubc.ca Review of applications will
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF1325H LEC0101 – Online Information Retrieval Course Description: This course focuses on
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF1325H LEC0102 – Online Information Retrieval Course Description: This course focuses on
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 12 days ago
to the history of video games from early arcade cabinets and personal computers to home video game consoles and mobile devices in everyday life. It considers the role of culture, technology, and marketing in
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& Pathobiology Campus: St. George (Downtown Toronto) Description: This course is the core of the MHSc in Translational Research Program. Students, organized in small groups of 2-5 students will have identified and
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF1343H – Data Modeling and Database Design Course Description: The purpose of this course is
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of Chemistry, Faculty of Science, McGill University Winter 2026 Course Lecturer Position Deadline to Apply: October 14, 2025 Salary: $11,479.00 Teaching Qualification Requirements: - PhD in Chemistry - Minimum 5
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Guest Lecturer
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2404H LEC5101 – Special Topics in Information: Explainability & Fairness for Responsible Machine